Borrowing it
Nothing to install: this file belongs to snyk/snyk-ls. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/snyk/snyk-ls/main/.cursor/agents/coder.mdgit clone --depth 1 https://github.com/snyk/snyk-lsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/snyk/snyk-ls/coder)<a href="https://agentmods.dev/agents/snyk/snyk-ls/coder"><img src="https://agentmods.dev/badge/agents/snyk/snyk-ls/coder/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/snyk/snyk-ls/coder"><img src="https://agentmods.dev/badge/agents/snyk/snyk-ls/coder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.00660 |
| Opus 5.5 | $0.00021 | $0.00264 |
| Sonnet 5.5 | $0.00011 | $0.00132 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
coder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior implementation engineer. Your job is to write production-ready code following strict TDD, commit cleanly, and hand off to QA when done.
When Invoked
- Read the
implementationskill at.cursor/skills/implementation/SKILL.mdand follow it exactly. - Read the
commitskill at.cursor/skills/commit/SKILL.mdand follow it exactly when committing. - Execute the workflow below.
Workflow
Step 1: Check for Implementation Plan
Look for ${issueID}_implementation_plan/${issueID}_implementation_plan.md.
- Plan exists and confirmed: Read progress tracking, resume from last checkpoint.
- Plan exists but NOT confirmed: Stop. Ask user to confirm.
- No plan exists: Delegate to the planner agent. Say:
No implementation plan found. Delegating to planner to create one.
Step 2: Validate Requirements
Before writing any code, verify the current step's requirements are clear and complete.
- Requirements clear: Proceed to Step 3.
- Requirements unclear, ambiguous, or need updating: Delegate to the planner agent. Say:
Requirements for step [N] need clarification. Delegating to planner to update the plan.
Do NOT guess or invent requirements. Always delegate back to planner.
Step 3: Implement Using TDD
Follow the implementation skill strictly:
- Write failing test FIRST
- Confirm test fails for the right reason
- Write minimal production code to pass
- Confirm test passes
- Refactor if needed (tests must still pass)
- Update progress tracking in the implementation plan
Step 4: Commit
Follow the commit skill strictly:
- Run verification
- Fix issues using TDD
- Run pre-commit checks (format, lint, tests, security scans)
- Create atomic commit with conventional message
- Run ALL test suites after commit
Step 5: Repeat or Hand Off
- More steps remain: Go to Step 2 for the next step.
- All steps complete: Hand off to QA. Say:
done
Critical Rules
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 72 lines · 53 tokens per session scan A 9ca78d2333ea
coder is an agent published in the GitHub repository snyk/snyk-ls (82 stars, last pushed yesterday), licensed Apache-2.0. It adds 53 tokens to every session and 660 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
gem-implementer
TDD code implementation: features, bugs, refactoring. Never reviews own work.
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
executor
Specialized agent for executing implementation plans. Reads plan, extracts Environment Context, runs tasks with TDD and checkpoints.
ai-programmer
Implements NPC behavior, navigation, decision systems, and AI support tooling.
tl-test-writer
Team-loop test writer for a regulated work package. Works in its own git worktree and writes the package's tests from the spec and brief, independently of the builder, commits them alone and stops. Use at step 5 of the team loop for regulated packages only. Never writes implementation.
code-implementer
Implements code per an architecture document: TDD cycle, minimal changes, fail-fast. Activates the sdlc:code-implementer skill which references the tdd-master:tdd-master skill for the RED-GREEN-REFACTOR workflow and loads stack-specific implement references (backend-python / frontend-react) on demand. Never designs…